Article Summary
The Model Context Protocol (MCP) is introduced as a novel specification designed to enable AI assistants, particularly Claude, to robustly interact with and utilize external tools and resources. MCP defines a standardized framework where tool providers (servers) expose their functionalities using `tool_name`, `tool_description`, and `input_schema`. An AI client reasons over these descriptions to generate `tool_code`, which is then executed by the client environment. The results (`tool_results`) are relayed back to the AI, allowing it to integrate real-time information and perform actions, significantly reducing hallucinations and expanding AI capabilities beyond its training data. This protocol facilitates a more generalized approach to tool use compared to prior plugin systems.